Roles & Responsibilities
Data-Driven Process Discovery: Deploy Process Mining tools (e.g., Celonis, UiPath) to scientifically reconstruct as-is processes, identify bottlenecks, and quantify variation without relying solely on interviews.
Intelligent Automation Strategy: Identify high-value opportunities for Hyperautomation, combining RPA (Robotic Process Automation) with AI/ML components for cognitive tasks (e.g., intelligent document processing, predictive analytics).
Process Re-engineering: Lead Kaizen events and DMAIC projects to eliminate waste and standardize processes prior to automation; ensure garbage in, garbage out is avoided.
AI/ML Integration: Work with data scientists and developers to implement AI-enabled solutions, such as predictive cash forecasting models or anomaly detection in the General Ledger.
Benefit Realization: rigorously track and validate savings (FTE release, hard cost savings, error reduction) resulting from process improvements andautomation.
Change Management: Facilitate the cultural shift towards continuous improvement and digital adoption; train functional teams on new automated workflows.
Governance & Documentation: Maintain a repository of updated SOPs that reflect the new human-machine hybrid workflows; ensure bots and AI models are governable and auditable.
Required Qualifications
Education: Bachelor's degree in Engineering, Statistics, Math, or Business. Master's preferred.
Certifications: Lean Six Sigma Black Belt certification from a reputable organization (ASQ, etc.) is mandatory.
Experience: 10-12 years of experience in Process Excellence, with a strong focus on Digital Transformation in Finance/Shared Services.
AI/Automation: Proven experience delivering projects involving RPA and AI/Machine Learning integration.
Technical Skills & Competencies
Process Mining: Hands-on expertise with
Celonis,
UiPath Process Mining, or Signavio.
RPA Platforms: Strong knowledge of
UiPath,
Blue Prism, or Automation Anywhere (architecture and capabilities).
Data & AI: Familiarity with
Python (pandas, scikit-learn) for data analysis; experience with
Power Automate and AI Builder.
Statistical Analysis: Proficiency in Minitab or JMP.
CORE COMPETENCIES
Innovation Mindset: Ability to look beyond traditional CI methods and leverage technology for step-change improvements.
Technical Translation: Ability to explain complex AI/ML concepts to non-technical finance stakeholders.
Analytical Rigor: Commitment to data-backed decision making.
Project Leadership: Ability to manage agile automation squads and deliver rapid prototypes/MVPs.
Experience
Skills
- Primary Skill: Business-Analysis
- Sub Skill(s): Business-Analysis
- Additional Skill(s): Robotic Process Automation, UiPath, Business Advisor (Software), Business Analysis (Software), Hyperautomation Process Analysis, Requirements Development, Python, AiBuilder, Power Automate
About The Company
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakw, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
